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Mobility and Redistribution

Authors: Epple, Dennis; Romer, Thomas;

Mobility and Redistribution

Abstract

The ability of individuals to move freely from one jurisdiction to another is generally seen as a constraint on the amount of redistribution that each jurisdiction within a system of governments can undertake. In this paper, we look at this proposition by developing a positive analysis of income redistribution by local governments in a federal system. We ask how much redistribution occurs when only local governments can have tax/transfer instruments, individuals can move freely among jurisdictions, and voters in each jurisdiction are fully aware of the migration effects of redistributive policies. Local redistribution is shown to induce sorting of the population, with the poorest households located in the communities that provide the most redistribution. While the threat of out-migration affects the potential for redistribution, our results suggest that significant local redistribution is nonetheless feasible. Numerical computations indicate that the proportion of residents who are renters is a major factor affecting the local choice of level of redistribution.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
255
Top 1%
Top 0.1%
Average
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